I have a dataframe containing n columns. I would like to plot my data using boxplots for each element (X1, X2, X3,...X14). I am not able to figure out how to use my dataframe for multiple categories.

I found one example with which I tried the following, but it is not working.

df <- data.frame(Xs = 1:14)
df <- melt(df , id.vars = 'Xs', variable_name = 'elements')

Test <- ggplot(df, aes(Xs, value))   geom_boxplot()

Any help would be appreciated! Thanks.

CodePudding user response：

You can use the following code:

library(tidyverse)
library(reshape)
df %>%
  melt() %>%
  ggplot(aes(x = variable, y = value))  
  geom_boxplot()  
  theme_bw()

Output:

Generated random data:

df <- data.frame(X1 = runif(14, 0, 1),
                 X2 = runif(14, 0, 1),
                 X3 = runif(14, 0, 1),
                 X4 = runif(14, 0, 1),
                 X5 = runif(14, 0, 1),
                 X6 = runif(14, 0, 1),
                 X7 = runif(14, 0, 1),
                 X8 = runif(14, 0, 1),
                 X9 = runif(14, 0, 1),
                 X10 = runif(14, 0, 1),
                 X11 = runif(14, 0, 1),
                 X12 = runif(14, 0, 1),
                 X13 = runif(14, 0, 1),
                 X14 = runif(14, 0, 1))

CodePudding user response：

Use facet_wrap. Also, use mutate to add the variable Xs to the data frame.

df <- tibble::tribble(
    ~X1,   ~X2,   ~X3,   ~X4,   ~X5,
  0.867, 0.568, 0.674, 0.976, 0.332,
  0.546, 0.532, 0.653, 0.994, 0.848,
  0.546, 0.532, 0.653, 0.994, 0.848,
  0.546, 0.532, 0.653, 0.994, 0.848,
  0.546, 0.532, 0.653, 0.994, 0.848
  )

df <- df %>% 
  mutate(Xs = 1:5) %>% 
  melt(id.vars = 'Xs')

ggplot(df, aes(Xs, value))   
  geom_boxplot()  
  facet_wrap(~ variable)